code: def fakeQuantizePerChannelOriginalKernel(
      input,
      scale,
      zero_point,
      axis: int,
      quant_min: int,
      quant_max: int,
  ):
      return torch.fake_quantize_per_channel_affine(
          input, scale, zero_point, axis, quant_min, quant_max
      )
  
imports: import torch
  import torch.ao.nn.quantized
  import torch.ao.quantization
  import torch.nn
  import operator_benchmark
label_desc: Use image node_id 4 for calling a global function with example usage: fakeQuantizePerChannelOriginalKernel(input, scale, zero_point, axis, quant_min, quant_max) and returns: torch